scholarly journals An Internet of Things (IOT) based Smart Parking Routing System for Smart Cities

2019 ◽  
Vol 10 (8) ◽  
Author(s):  
Elgarej Mouhcine ◽  
Karouani Yassine ◽  
El Fazazi ◽  
Khalifa Mansouri ◽  
Youssfi Mohamed
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Smart Parking

scholarly journals An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3594 ◽  
Author(s):  
Hung Cao ◽  
Monica Wachowicz
Keyword(s):  
Internet Of Things ◽  
Data Streams ◽  
Urban Governance ◽  
Smart Cities ◽  
Data Driven ◽  
Business Decisions ◽  
Cloud Architecture ◽  
Smart Parking

Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence for developing new forms of urban governance and organization policies. This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario.

scholarly journals A study of remotely booking slot for vehicle using Internet of Things

2020 ◽  
Vol 10 (5) ◽  
pp. 5392
Author(s):  
S. Metilda Florence ◽  
M. Uma ◽  
C. Fancy ◽  
G. Saranya
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Sensor Nodes ◽  
Raspberry Pi ◽  
Cost Information ◽  
System A ◽  
Parking System ◽  
Car Park ◽  
Smart Parking ◽  
The Cost

Internet Of Things (IoT) is a continually growing area which aids us to unite diverse objects. The proposed system exhibits the universal notion of utilizing cloud-based intellectual automotive car parking facilities in smart cities as a notable implementation of the IoT. Such services demonstrate to be a noteworthy part of the IoT and thus serving users in no small amount due to its pure commerce positioned qualities. Electromagnetic fields are being used by RFID to detect and track tags ascribed to objects automatically. The RFID technology is used in this system along with suitable IoT protocols to evade human interference, which reduces the cost. Information is bartered using readers and tags. RFID and IoT technologies are mainly used to automate the guide systems and make them strong and more accurate. Open Service Gateways can be effectively used for this module. This system established on the consequence of IoT and the purposes are solving the chaos, bewilderment, and extensive backlogs in parking spaces like malls and business parks that are customary as a consequence of the increased use of automobiles. The proposed work aims to solve these problems and offer car drivers a hassle-free and instantaneous car parking experience. While a number of nodes are positioned depends on topographical restrictions, positioning of prominent anchor sensor nodes in the smart parking is a primary factor against which the efficiency and cost of the parking system hang. A Raspberry Pi would act as a mini-computer in our system. A suitable smallest path methodology would be cast-off to obtain the shortest distance between the user and every car park in the system. Hence, the pausing time of the user is decreased. This work furthermore includes the practice of remotely booking of a slot with the collaboration of android application exercising smartphones for the communication between the Smart Parking system and the user.

scholarly journals Smart parking management using the internet of things

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Hadi Ghahremani ◽  
Shiva Taghipour Eivazi ◽  
Amir Aghaei Anvigh
Keyword(s):  
Internet Of Things ◽  
Waiting Time ◽  
Smart Cities ◽  
Minimum Cost ◽  
The Internet ◽  
Main Requirement ◽  
Parking Lot ◽  
Parking Management ◽  
Smart Parking ◽  
The Internet Of Things

The main requirement of smart cities is intelligent and effective parking system, which currently most parking systems exist basedon various technologies such as Internet of Things, so intelligent parking management is gradually becoming a necessity. Hence inthis article a new manner is introduced in the form of prioritization, which alters the type of prioritization than the previous methods, sothat the different parameters such as the distance between parking lots, distance between vehicle and a parking lot, number of freeparking spaces in the destination parking lot, number of unsuccessful parks, and the number of parking lot visits are considered, and ingeneral a system is recommended that helps drivers to find a parking lot with the minimum cost based on the aforesaid parameters. Thesimulation of proposed approach performed in Arena application and the results of the simulation and its comparison with theprevious works suggest that the proposed method results in the better decrease of the waiting time than the existing waiting timein the previous works and contributes to minimize drivers waiting time.

scholarly journals Smart Parking for Smart Cities using IoT

2021 ◽  
Vol 309 ◽  
pp. 01128
Author(s):  
Bhavani Ratakonda ◽  
Pavithra Avvari ◽  
B. Rajarao ◽  
Voruganti Sreevani ◽  
N V Ganapathi Raju
Keyword(s):  
Internet Of Things ◽  
Urban Communities ◽  
Smart Cities ◽  
Routine Activity ◽  
Shopping Malls ◽  
The People ◽  
Shopping Area ◽  
Industry Applications ◽  
Smart Parking ◽  
Smart Industry

The idea of smart cities has gained immense popularity in real-time, Internet of Things (IoT) is not just about connecting people and about connecting things. Billions of devices will connect to the internet through sensors they talk to each other. Searching for parking is a routine activity for many peoples in the city around the world. There are many solutions some of the existing solutions are inductive loops, image processing at shopping malls, universities, airports, also, the thought behinds advancement of IoT. With this IoT there is numerous wide scope of utilizations in our day by day life, not many of them are keen urban communities, smart waste administration, smart health, brilliant security, and smart industry applications. This paper provides a novel solution for the people to minimize the waiting time and maximize productivity and help to find the space where the vehicles can be left to decrease the traffic in the leaving region. Internet of Things and distributed computing are two unique parts of innovations. IoT is an arrangement of interrelated gadgets and things with unique identifiers associated with the web can speak with one another. The cloud gives everything as administration i. e. pays for what we use. The obstacle sensor senses the obstacle status when the car is being parked in the parking area and status is sent to the cloud. Utilizing the IoT framework it gives the accessible free stopping spaces, Entry and exit likewise gives payment process through RFID card to diminish the bottleneck of the payment procedure and approve at the passage/leave the entrance of the shopping area.

scholarly journals Evaluating ThingSpeak as an IoT Event Platform on building a Smart Parking Application

2019 ◽  
Author(s):  
Aluizio Rocha ◽  
Arthur Souza ◽  
Dannylo Johnathan ◽  
Gibeon Aquino ◽  
Rafael Queiroz ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Cloud Service ◽  
The Internet ◽  
Iot Platform ◽  
Ubiquitous Systems ◽  
New Models ◽  
Smart Parking ◽  
Computational Systems ◽  
The Internet Of Things

Many technologies are needed to build computational systems in the context of Smart Cities. At present, the construction of scalable, intelligent and ubiquitous systems is a constant challenge for developers. The evolution of the Internet of Things is one of the several paths to be pursued with the aid of this development. In this way, new models and platforms have been proposed to support the development of its applications. Allied to this challenge this work presents a generic and a conceptual model of an IoT application for Smart Parking. This model is implemented as RFID and RaspberryPi. In addition, it eval- uates the ThingSpeak cloud service for its use as an IoT platform.

Everything of Internet of Things and Smart Cities Applications

2017 ◽  
Author(s):  
Mazin S. Al-Hakeem ◽  
Alaa H.Al-Hamami
Keyword(s):  
Internet Of Things ◽  
Smart Cities

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

Robust Networking: Dynamic Topology Evolution Learning for Internet of Things

2021 ◽  
Vol 17 (3) ◽  
pp. 1-23
Author(s):  
Ning Chen ◽  
Tie Qiu ◽  
Mahmoud Daneshmand ◽  
Dapeng Oliver Wu
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Evolutionary Process ◽  
Small Error ◽  
Cyber Attacks ◽  
Communication Capacity ◽  
Error Ratio ◽  
The Internet Of Things ◽  
Evolution Learning

The Internet of Things (IoT) has been extensively deployed in smart cities. However, with the expanding scale of networking, the failure of some nodes in the network severely affects the communication capacity of IoT applications. Therefore, researchers pay attention to improving communication capacity caused by network failures for applications that require high quality of services (QoS). Furthermore, the robustness of network topology is an important metric to measure the network communication capacity and the ability to resist the cyber-attacks induced by some failed nodes. While some algorithms have been proposed to enhance the robustness of IoT topologies, they are characterized by large computation overhead, and lacking a lightweight topology optimization model. To address this problem, we first propose a novel robustness optimization using evolution learning (ROEL) with a neural network. ROEL dynamically optimizes the IoT topology and intelligently prospects the robust degree in the process of evolutionary optimization. The experimental results demonstrate that ROEL can represent the evolutionary process of IoT topologies, and the prediction accuracy of network robustness is satisfactory with a small error ratio. Our algorithm has a better tolerance capacity in terms of resistance to random attacks and malicious attacks compared with other algorithms.

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